CONTROL SYSTEMS

ELECTRICAL PROJECTS (2019-20)

Control Systems

S.NO	TITLES	Download
DST TO CONTROL 01	Pnklmf based neural network control and learning based hc mppt technique for multi-objective grid integrated solar pv based distributed generating system
DST TO CONTROL 02	Development of wind and solar based ac microgrid with power quality improvement for local nonlinear load using mlms
DST TO CONTROL 03	Hierarchical distributed model predictive control of standalone wind/solar/battery power system
DST TO CONTROL 04	Nonlinear model predictive control of wind farm for system frequency support
DST TO CONTROL 05	A novel approach for pv system based on metaheuristic algorithm connected to the grid using fs-mpc controller
DST TO CONTROL 06	Dynamic capabilities of an energy storage- embedded dfig system
DST TO CONTROL 07	Improved mppt method to increase accuracy and speed in photovoltaic systems under variable atmospheric conditions
DST TO CONTROL 08	Control of single-phase solar power generation system with universal active power filter capabilities using least mean mixed-norm (lmmn)-based adaptive filtering method
DST TO CONTROL 09	A cooperative adaptive droop based energy management & optimal voltage regulation scheme for dc microgrids
DST TO CONTROL 010	Enhanced auto-scaling incremental conductance mppt method, implemented on low-cost microcontroller and sepic converter
DST TO CONTROL 011	Integration of solar pv with low-voltage weak grid system: using normalized laplacian kernel adaptive kalman filter and learning based inc algorithm
DST TO CONTROL 012	Llmlf based control approach and lpo mppt technique for improving performance of a multifunctional three-phase two-stage grid integrated pv system
DST TO CONTROL 013	Development of a combined control system to improve performance of a pmsg based wind energy conversion system under normal and grid fault conditions
DST TO CONTROL 014	Fault ride-through strategy for two-stage gpv system enabling load compensation capabilities using ekf algorithm
DST TO CONTROL 015	Modelling and voltage control of the solar- wind hybrid micro-grid with optimized statcom